Monitoring of Conservation Tillage and Tillage Intensity by Ground and Satellite Imagery
Local information about tillage intensity and ground residue coverage is useful for policies in agricultural extension, tillage implement design and upgrading management methods. The current methods for assessing crop residue coverage and tillage intensity such as residue weighing methods, line-tran...
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Ferdowsi University of Mashhad
2014-09-01
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Series: | Journal of Agricultural Machinery |
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doaj-59a27c9f054b480d824288b01db67a532021-02-02T08:50:37ZengFerdowsi University of MashhadJournal of Agricultural Machinery2228-68292423-39432014-09-014225526510.22067/jam.v4i2.348227498Monitoring of Conservation Tillage and Tillage Intensity by Ground and Satellite ImageryM.A RostamiM.H RaoufatA.A JafariM LoghaviM KasraeiS.M.R NazemsadatLocal information about tillage intensity and ground residue coverage is useful for policies in agricultural extension, tillage implement design and upgrading management methods. The current methods for assessing crop residue coverage and tillage intensity such as residue weighing methods, line-transect and photo comparison methods are tedious and time-consuming. The present study was devoted to investigate accurate methods for monitoring residue management and tillage practices. The satellite imagery technique was used as a rapid and spatially explicit method for delineating crop residue coverage and as an estimator of conservation tillage adoption and intensity. The potential of multispectral high-spatial resolution WorldView-2 local data was evaluated using the total of eleven satellite spectral indices and Linear Spectral Unmixing Analysis (LSUA). The total of ninety locations was selected for this study and for each location the residue coverage was measured by the image processing method and recorded as ground control. The output of indices and LSUA method were individually correlated to the control and the relevant R2 was calculated. Results indicated that crop residue cover was related to IPVI, RVI1, RVI2 and GNDVI spectral indices and satisfactory correlations were established (0.74 - 0.81). The crop residue coverage estimated from the LSUA approach was found to be correlated with the ground residue data (0.75). Two effective indices named as Infrared Percentage Vegetation Index (IPVI) and Ratio Vegetation Index (RVI) with maximum R2 were considered for classification of tillage intensity. Results indicated that the classification accuracy with IPVI and RVI indices in different conditions varied from 78-100 percent and therefore in good agreement with ground measurement, observations and field records.https://jame.um.ac.ir/index.php/jame/article/view/34822conservation tillage, line-transect method, multispectral, Linear Spectral Unmixing Analysis, satellite imagery, spectral indices |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
M.A Rostami M.H Raoufat A.A Jafari M Loghavi M Kasraei S.M.R Nazemsadat |
spellingShingle |
M.A Rostami M.H Raoufat A.A Jafari M Loghavi M Kasraei S.M.R Nazemsadat Monitoring of Conservation Tillage and Tillage Intensity by Ground and Satellite Imagery Journal of Agricultural Machinery conservation tillage, line-transect method, multispectral, Linear Spectral Unmixing Analysis, satellite imagery, spectral indices |
author_facet |
M.A Rostami M.H Raoufat A.A Jafari M Loghavi M Kasraei S.M.R Nazemsadat |
author_sort |
M.A Rostami |
title |
Monitoring of Conservation Tillage and Tillage Intensity by Ground and Satellite Imagery |
title_short |
Monitoring of Conservation Tillage and Tillage Intensity by Ground and Satellite Imagery |
title_full |
Monitoring of Conservation Tillage and Tillage Intensity by Ground and Satellite Imagery |
title_fullStr |
Monitoring of Conservation Tillage and Tillage Intensity by Ground and Satellite Imagery |
title_full_unstemmed |
Monitoring of Conservation Tillage and Tillage Intensity by Ground and Satellite Imagery |
title_sort |
monitoring of conservation tillage and tillage intensity by ground and satellite imagery |
publisher |
Ferdowsi University of Mashhad |
series |
Journal of Agricultural Machinery |
issn |
2228-6829 2423-3943 |
publishDate |
2014-09-01 |
description |
Local information about tillage intensity and ground residue coverage is useful for policies in agricultural extension, tillage implement design and upgrading management methods. The current methods for assessing crop residue coverage and tillage intensity such as residue weighing methods, line-transect and photo comparison methods are tedious and time-consuming. The present study was devoted to investigate accurate methods for monitoring residue management and tillage practices. The satellite imagery technique was used as a rapid and spatially explicit method for delineating crop residue coverage and as an estimator of conservation tillage adoption and intensity. The potential of multispectral high-spatial resolution WorldView-2 local data was evaluated using the total of eleven satellite spectral indices and Linear Spectral Unmixing Analysis (LSUA). The total of ninety locations was selected for this study and for each location the residue coverage was measured by the image processing method and recorded as ground control. The output of indices and LSUA method were individually correlated to the control and the relevant R2 was calculated. Results indicated that crop residue cover was related to IPVI, RVI1, RVI2 and GNDVI spectral indices and satisfactory correlations were established (0.74 - 0.81). The crop residue coverage estimated from the LSUA approach was found to be correlated with the ground residue data (0.75). Two effective indices named as Infrared Percentage Vegetation Index (IPVI) and Ratio Vegetation Index (RVI) with maximum R2 were considered for classification of tillage intensity. Results indicated that the classification accuracy with IPVI and RVI indices in different conditions varied from 78-100 percent and therefore in good agreement with ground measurement, observations and field records. |
topic |
conservation tillage, line-transect method, multispectral, Linear Spectral Unmixing Analysis, satellite imagery, spectral indices |
url |
https://jame.um.ac.ir/index.php/jame/article/view/34822 |
work_keys_str_mv |
AT marostami monitoringofconservationtillageandtillageintensitybygroundandsatelliteimagery AT mhraoufat monitoringofconservationtillageandtillageintensitybygroundandsatelliteimagery AT aajafari monitoringofconservationtillageandtillageintensitybygroundandsatelliteimagery AT mloghavi monitoringofconservationtillageandtillageintensitybygroundandsatelliteimagery AT mkasraei monitoringofconservationtillageandtillageintensitybygroundandsatelliteimagery AT smrnazemsadat monitoringofconservationtillageandtillageintensitybygroundandsatelliteimagery |
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